Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Real time intelligent control method based on natural video frequency

An intelligent monitoring and video technology, which is applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of lack of multiple functional integration intelligent monitoring solutions, limitations, etc.

Inactive Publication Date: 2008-11-26
ZHEJIANG UNIV
View PDF0 Cites 38 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing intelligent monitoring technologies are all limited to a specific problem domain, such as detection, tracking or face recognition, and do not integrate multiple functions together to form a complete intelligent monitoring problem solution

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Real time intelligent control method based on natural video frequency
  • Real time intelligent control method based on natural video frequency
  • Real time intelligent control method based on natural video frequency

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0078] (1) In this embodiment, the surveillance video in a certain scene captured by the standard camera equipment is used as the input natural video, and the encoding format is the standard AVI format.

[0079] Load the grayscale image corresponding to the video frame sequence. The format of the grayscale image is the JPG image encoding format, and the size of the image is 400×293 pixels. The foreground extraction and binarization process is performed, and the background frame clipping is improved for background extraction. Algorithm, the binarization uses the adaptive threshold filtering algorithm to obtain the binary silhouette frame sequence of the monitored person's movement, and construct the motion history with the binary silhouette frame sequence of the specified frame length for a specified action sequence to be learned image. As shown in Fig. 1, one frame in the binary silhouette frame sequence obtained in the embodiment.

[0080] For a binary silhouette frame seque...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a real-time intelligent monitoring method based on natural video. The method uses the knowledge of computer image processing and artificial intelligence and realizes unmanned intelligent monitoring and alarm to the action of pedestrian in public places and important sensitive places. Firstly, video frame serial sections which need to be studied are extracted, movable historical images are obtained, which reflect the movement process of the people; on this base, the user-defined method for extracting the eigenvector is used, vector representation of the specific movement series is obtained, and the vector sample is stored in the sample database; as for the video frame serial which need to be monitored, the eigenvector and sample data are mapped in the low dimensional space, the corresponding classification by the optimized method is obtained and alarm is carried out. Owing to the sample study mechanism and the classification mechanism of the designed actions in the text, the method of the invention improves the accuracy of identification and strengthens the expansibility of identification; by designing the eigenvector representation and extraction method of movement serial of the people, the completeness and accuracy of action representation are strengthened.

Description

technical field [0001] The invention relates to an intelligent monitoring method, in particular to a method for processing natural video based on computer image processing and artificial intelligence knowledge to obtain real-time intelligent monitoring of a specific scene, which belongs to the comprehensive field of computer image processing and artificial intelligence. Background technique [0002] With the rapid growth of urban population and the increasingly complex urban environment, urban social security incidents such as mass incidents, riots, and terrorist attacks have seriously affected urban public security. Building a safe city has become an important topic in today's international community. When it comes to the construction of "safe cities", people will naturally think of the terrorist incidents that have occurred around the world in recent years. After the "911" terrorist attack in the United States and the London subway bombing in the United Kingdom, governmen...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
Inventor 庄越挺梁璋肖俊吴飞张剑
Owner ZHEJIANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products